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Commentary: Generative AI & Checks Against Bias (Stanford GSB MBA What Matters Essay)

To pull off this kind of an opener for Stanford, you must be from the same ethnicity the statement highlights

Stanford is highly cautious of provocateurs from both the left and right or someone with biases against other races and nationalities. 

The applicant starts with a controversial conclusion that an AI generative tool reached about African American fathers. 

As an African American herself, she is caught in a challenging scenario - confirm her experiences and validate the statement or do thorough research into the dataset that has led the AI generative tool to reach this conclusion.

The testing for this decision-making tool led the applicant to research the history of insurance and premiums in the US. She noticed discriminating data against black customers way back in the CIVIL war era. 

The Generative AI tool didn't have the intelligence to understand how the data was collected or the biases of the statistician who introduced the risk formula for the insurance company. 

Any intervention narrative should include contexts that are balanced. It should not read like you intervened with a simple suggestion and the problem got resolved. 

Narrate the challenges of the intervention.